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GENIUS: A Novel Solution for Subteam Replacement with Clustering-based
  Graph Neural Network
v1v2 (latest)

GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network

8 November 2022
Chuxuan Hu
Qinghai Zhou
Hanghang Tong
ArXiv (abs)PDFHTML

Papers citing "GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network"

20 / 20 papers shown
Title
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNNAI4TS
82
559
0
14 Jun 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding
Qinghai Zhou
Hanghang Tong
Huan Liu
106
127
0
22 Feb 2021
Graph Clustering with Graph Neural Networks
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNNAI4CE
84
266
0
30 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
269
741
0
14 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
109
876
0
05 Feb 2020
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
92
1,112
0
07 Sep 2019
Self-Attention Graph Pooling
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
175
1,125
0
17 Apr 2019
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
168
1,364
0
14 Nov 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
303
2,154
0
22 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
516
1,987
0
09 Jun 2018
GraKeL: A Graph Kernel Library in Python
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis
Giannis Nikolentzos
Stratis Limnios
C. Giatsidis
Konstantinos Skianis
Michalis Vazirgiannis
GP
38
158
0
06 Jun 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via
  Ranking
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski
Stephan Günnemann
BDL
85
647
0
12 Jul 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
512
15,300
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
216
2,899
0
14 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
652
29,154
0
09 Sep 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNNSSL
171
2,103
0
29 Mar 2016
Graph Kernels
Graph Kernels
S.V.N. Vishwanathan
Karsten Borgwardt
I. Kondor
N. Schraudolph
149
1,206
0
01 Jul 2008
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